Acta Biotheoretica

, Volume 61, Issue 2, pp 203–222 | Cite as

Living is Information Processing: From Molecules to Global Systems

  • Keith D. Farnsworth
  • John Nelson
  • Carlos Gershenson
Regular Article

Abstract

We extend the concept that life is an informational phenomenon, at every level of organisation, from molecules to the global ecological system. According to this thesis: (a) living is information processing, in which memory is maintained by both molecular states and ecological states as well as the more obvious nucleic acid coding; (b) this information processing has one overall function—to perpetuate itself; and (c) the processing method is filtration (cognition) of, and synthesis of, information at lower levels to appear at higher levels in complex systems (emergence). We show how information patterns, are united by the creation of mutual context, generating persistent consequences, to result in ‘functional information’. This constructive process forms arbitrarily large complexes of information, the combined effects of which include the functions of life. Molecules and simple organisms have already been measured in terms of functional information content; we show how quantification may be extended to each level of organisation up to the ecological. In terms of a computer analogy, life is both the data and the program and its biochemical structure is the way the information is embodied. This idea supports the seamless integration of life at all scales with the physical universe. The innovation reported here is essentially to integrate these ideas, basing information on the ‘general definition’ of information, rather than simply the statistics of information, thereby explaining how functional information operates throughout life.

Keywords

Complex system Entropy Biocomplexity Evolution Network 

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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Keith D. Farnsworth
    • 1
  • John Nelson
    • 1
  • Carlos Gershenson
    • 2
  1. 1.School of Biological SciencesQueen’s University BelfastBelfastUK
  2. 2.Instituto de Investigaciones en Matemáticas Aplicadas y en SistemasUniversidad Nacional Autónoma de MéxicoMexico, DFMexico

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